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    Additive construction of concrete deep beams using low-cost characterization methods and FEM-based topological optimization
    (Elsevier Ltd, 2024-03-08)
    Additive manufacturing using concrete for large-scale construction purposes has demonstrated economic, social, and environmental benefits compared to conventional building procedures. These advantages stem from the capabilities of concrete 3D printing, which facilitates a rapid, accurate, and low-waste construction process with substantially less labor and energy requirements compared to traditional casting procedures such as formwork fabrication and stripping, concrete pouring, and concrete consolidation. This technology can pave the way for sustainable and cost-effective housing solutions when coupled with low-carbon concrete formulations and optimized structural designs. However, scientific and industrial experiences have shown that formulating printable concrete requires extensive testing and costly equipment to reach appropriate fresh and hardened-state properties. Therefore, accessible and practical mix-design protocols for the evaluation of printable concrete formulation are needed to enable in-situ control and broader adoption of 3D printing. Once a printable material is developed, innovative design methods, such as topology optimization, that exploit robot-controlled construction to fabricate efficient, safe, and free-form elements can be explored. In this context, this article presents a methodology based on a set of low-cost and accessible experimental tests to develop cement-based matrices with low binder content suitable for layer-by-layer deposition. Furthermore, a framework to design and fabricate efficient structural elements based on numerical-based topological optimization and concrete additive manufacturing is proposed and validated. The systematic experimental campaign carried out indicates that the yield strength obtained from shear vane tests, initially designed for geotechnical field tests, is a reliable reference value for proportioning extrudable, pumpable, and buildable concretes. Employing the proposed framework, four formulations with excellent printing capabilities are presented. These formulations are successfully utilized for additive manufacturing of a topologically optimized deep beam, achieving a remarkable 52% mass reduction compared to a solid element. This showcases the possibility of 3D printing structurally efficient elements with intricate geometries while minimizing material usage, all without the need for formworks.Principio del formulario.
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    Printable concrete with multi-source recycled aggregates: particle packing design, rheological behavior, and 3D printing validation
    (Springer, 2026-03-27)
    Concrete 3D printing faces challenges due to the global shortage of natural sand. In this context, construction and demolition waste, scallop shell waste, and recycled PET offer sustainable alternatives. This study develops and validates a concrete mix design methodology incorporating these recycled aggregates, using the Funk-Dinger model to optimize particle size distribution for 3D printing. A comprehensive experimental campaign was conducted to characterize the physical properties of source and blended aggregates, and to assess mixture printability through mortar flow tests, medium-scale 3D printing trials, and rotational rheometry. The results indicate that dense and loose packing fractions are governed not only by particle size distribution but also by aggregate morphology, as quantified by the Sphericity Deviation Index (SDI). Five formulations incorporating binary, ternary, and quaternary natural and recycled aggregate blends were successfully printed at a medium scale. Printable mixtures exhibited static yield strength values in the range of about 1500–2000 Pa, consistent with requirements for extrusion-based printing. In addition, flow-loss rates over 30 min ranged from approximately 3.2 to over 6 mm/min and were found to correlate with aggregate water absorption, granulometric parameters, and superplasticizer dosage. An exploratory, data-driven classification analysis further indicated that static yield strength and SDI are informative indicators for distinguishing printable from non-printable mixtures within the investigated material space. Overall, the findings highlight that, beyond controlling flowability and particle size distribution, accounting for aggregate shape and packing behavior is essential for the development of printable concretes incorporating recycled aggregates. The proposed framework provides a basis for future optimization and extension toward sustainable additive construction.
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